MATH 339 BASEBALL STATISTICS
Models and research methods developed or adapted for use by baseball statisticians; including descriptive statistics, confidence intervals, hypothesis testing, regression, Bayesian statistics, and Markov chains. Presentation of several tools for teaching statistical concepts using data from baseball.
Credits:
3
Prerequisites:
MATH 300
(with a min grade of C-)
OR ACSC 300
(with a min grade of C-)
OR ACSC 347
(with a min grade of C-)
OR ECON 234
(with a min grade of C-)
OR MATH 217
(with a min grade of C-)
OR MATH 347
(with a min grade of C-)
View the Course Finder for more detailed prerequisite information.
Course Notes:
Basis background in Statistics and Linear Algebra
recommended.
